Pectinesterase activity and gene expression correlate with pathogenesis of .

Late blight caused by is the most devastating disease of potato. produces many secondary metabolites and effector proteins, involved in the pathogenesis, which compromise host defense mechanisms. Pectinesterase (PE) is a cell wall degrading enzyme secreted by to infect the host.

Prediction of basic turnout rail straightening with a neural network.

The main factors affecting the rebound of a switch rail in the straightening process are analysed and used as the input data of a neural network. An experimental group is designed, finite element simulation is carried out, and the data results are used to train the designed neural network to obtain a model with high accuracy. Taking the U71Mn rail as an example, the parameters are selected according to a certain interval, the test dataset is obtained via finite element simulation, and the selected parameters are predicted by the neural network.

Trends and risk factors analysis of aortic aneurysm mortality in China over thirty years: based on the global burden of disease 2019 data.

Objectives: This study aims to analyze the variation in mortality burden of aortic aneurysms (AA) and explore the associated risk factors based on Global Burden of Disease (GBD) 2019 data, investigating the mortality burden of AA in China.

Methods: Using GBD 2019 data, the mortality burden of AA in China from 1990 to 2019 was analyzed. The age-period-cohort model was utilized to analyze time trends, period, and cohort effects of 4 attributable risk factors of AA by age.

High- Versus Low-Dose Paclitaxel-Coated Balloons for Femoropopliteal Disease: A systematic review and meta-analysis.

To evaluate the comparative effectiveness of high- and low doses of paclitaxel in endovascular revascularization procedures for patients with femoropopliteal disease. The databases (Embase, PubMed, Scopus, and Web of Science) were searched for studies that had compared outcomes of high-dose and low-dose paclitaxel-coated balloons (PCBs) in the treatment of patients with femoropopliteal disease. Randomized controlled trials and nonrandomized comparative studies (eg, cohort studies and case-control studies) were eligible for inclusion.

Exploration of effective biomarkers for venous thrombosis embolism in Behçet's disease based on comprehensive bioinformatics analysis.

Behçet's disease (BD) is a multifaceted autoimmune disorder affecting multiple organ systems. Vascular complications, such as venous thromboembolism (VTE), are highly prevalent, affecting around 50% of individuals diagnosed with BD. This study aimed to identify potential biomarkers for VTE in BD patients.

LINC01535 promotes hepatocellular carcinoma proliferation and metastasis by regulating the miR-214-3p/VASP axis.

Emerging evidence has indicated that long noncoding RNAs (lncRNAs) are associated with the development and progression of several carcinomas, including hepatocellular carcinoma (HCC). However, the role of LINC01535 in HCC is still unknown. In this study, RNA-seq, CCK-8, colony formation, wound healing, Transwell and tumor xenograft assays were used to explore the function of LINC01535 in the proliferation and metastasis of HCC and .

Identification of biomarkers for abdominal aortic aneurysm in Behçet's disease via mendelian randomization and integrated bioinformatics analyses.

Behçet's disease (BD) is a complex autoimmune disorder impacting several organ systems. Although the involvement of abdominal aortic aneurysm (AAA) in BD is rare, it can be associated with severe consequences. In the present study, we identified diagnostic biomarkers in patients with BD having AAA.

Research and experimental verification of lightweight loader rims.

The safety performance and structural stiffness of a rim, which is the main load-bearing structure of the loader during operation, influence the overall performance, stability, and braking capabilities of the machine. In the industry, researchers are currently pursuing lightweight and high-strength rims as a primary objective. A low weight not only enhances machinery fuel efficiency but also aligns with societal demands for sustainable development, energy conservation, and emission reduction.

Research on optimization of basic rail top bending prediction model.

Since the basic rail of the switch needs to have a certain bending angle when the train changes direction, top bending is an important link in the production process of the basic rail. The three-point pressure top bending method is simple, flexible and widely used. In this study, the traditional three-point pressure bending is optimized, the influence of the pick width in the model is considered, a corresponding rebound model is established, and the model is applied to the pressure bending process of the basic rail.

Synthesis and Surface Strengthening Modification of Silica Aerogel from Fly Ash.

This study focuses on using activated fly ash to preparate silica aerogel by the acid solution-alkali leaching method and ambient pressure drying. Additionally, to improve the performance of silica aerogel, CHOSi (KH-570) and CHSi(CHO) (MTMS) modifiers were used. Finally, this paper investigated the factors affecting the desilication rate of fly ash and analyzed the structure and performance of silica aerogel.

Identification of key biomarkers for predicting CAD progression in inflammatory bowel disease via machine-learning and bioinformatics strategies.

The study aimed to identify the biomarkers for predicting coronary atherosclerotic lesions progression in patients with inflammatory bowel disease (IBD). Related transcriptome datasets were seized from Gene Expression Omnibus database. IBD-related modules were identified via Weighted Gene Co-expression Network Analysis.

Pyrolytic Modification of Heavy Coal Tar by Multi-Polymer Blending: Preparation of Ordered Carbonaceous Mesophase.

In order to achieve the high-value utilization of heavy tar for the production of enhanced-performance graphite foam carbon, the carbon mesophase was ready from the heavy component of low-temperature coal tar, and the coal tar was modified by styrene-butadiene-styrene (SBS), polyethylene (PE) and ethylene-vinyl-acetate (EVA) copolymers. The order degree of the carbonite mesophase was analyzed using a polarizing microscope test, Fourier transform infrared spectroscopy and X-ray diffraction to screen out the most suitable copolymer type and addition amount. Furthermore, the mechanism of modification by this copolymer was analyzed.

Systematical analysis of underlying markers associated with Marfan syndrome via integrated bioinformatics and machine learning strategies.

Marfan syndrome (MFS) is a hereditary disease with high mortality. This study aimed to explore peripheral blood potential markers and underlying mechanisms in MFS via a series bioinformatics and machine learning analysis. First, we downloaded two MFS datasets from the GEO database.

A systematic review and meta-analysis on sex disparities in the outcomes of fenestrated branched endovascular aortic aneurysm repair.

Objective: To compare the risk of mortality and complications between male and female patients undergoing aortic aneurysm repair with fenestrated-branched endovascular aortic repair (FBEVAR).

Methods: The PubMed, Embase, and Scopus databases were searched systematically for observational studies in patients undergoing elective fenestrated branched endovascular repair for aortic aneurysm. The included studies compared outcomes of interest based on the sex of the patients.

Identification and validation of diagnostic biomarkers of coronary artery disease progression in type 1 diabetes via integrated computational and bioinformatics strategies.

Objective: Our study aimed to identify early peripheral blood diagnostic biomarkers and elucidate the immune mechanisms of coronary artery disease (CAD) progression in patients with type 1 diabetes mellitus (T1DM).

Methods: Three transcriptome datasets were retrieved from the Gene Expression Omnibus (GEO) database. Gene modules associated with T1DM were selected with weighted gene co-expression network analysis.

Decoupling between carbon source and sink induced by responses of daily stem growth to water availability in subtropical urban forests.

Urban forests are anticipated to offer sustainable ecosystem services, necessitating a comprehensive understanding of the ways in which trees respond to environmental changes. This study monitored stem radius fluctuations in Cinnamomum camphora and Taxodium distichum var. imbricatum trees using high-resolution dendrometers at two sites, respectively.

Immune-associated biomarkers identification for diagnosing carotid plaque progression with uremia through systematical bioinformatics and machine learning analysis.

Background: Uremia is one of the most challenging problems in medicine and an increasing public health issue worldwide. Patients with uremia suffer from accelerated atherosclerosis, and atherosclerosis progression may trigger plaque instability and clinical events. As a result, cardiovascular and cerebrovascular complications are more likely to occur.

Effect of the timing of iliac vein stent implantation on catheter-directed thrombolysis in acute lower extremity deep venous thrombosis patients with severe iliac vein stenosis: a retrospective study.

Objective: To investigate the effect of the timing of iliac vein stent implantation on catheter-directed thrombolysis (CDT) in acute lower extremity deep venous thrombosis (DVT) patients with severe iliac vein stenosis.

Methods: The clinical data of 66 patients with acute lower extremity DVT complicated with severe iliac vein stenosis from May 2017 to May 2020 were retrospectively analyzed. Patients were divided into two groups by timing of iliac vein stent implantation: group A (iliac vein stent implantation before CDT treatment) for 34 and group B (iliac vein stent implantation after CDT treatment) for 32.

Hypoglycemic Diterpenoids from the Roots of .

Fifteen compounds including nine new diterpenes were isolated from the roots of . By HRESIMS, NMR, ECD data, and X-ray diffraction analysis, the new compounds were characterized as eight -clerodane diterpenes (compounds -) and one 15,16-dinor--pimarane diterpene (). All diterpenes were assayed for their hypoglycemic activities.

Identification of crucial genes for predicting the risk of atherosclerosis with system lupus erythematosus based on comprehensive bioinformatics analysis and machine learning.

Background: Systemic lupus erythematosus (SLE) has become a major public health problem over the years, and atherosclerosis (AS) is one of the main complications of SLE associated with serious cardiovascular consequences in this patient population. The present study aimed to identify potential biomarkers for SLE patients with AS.

Methods: Five microarray datasets (GSE50772, GSE81622, GSE100927, GSE28829, GSE37356) were downloaded from the NCBI Gene Expression Omnibus database.

Immune-associated pivotal biomarkers identification and competing endogenous RNA network construction in post-operative atrial fibrillation by comprehensive bioinformatics and machine learning strategies.

Background: Atrial fibrillation (AF) is the most common arrhythmia. Previous studies mainly focused on identifying potential diagnostic biomarkers and treatment strategies for AF, while few studies concentrated on post-operative AF (POAF), particularly using bioinformatics analysis and machine learning algorithms. Therefore, our study aimed to identify immune-associated genes and provide the competing endogenous RNA (ceRNA) network for POAF.

Identification and validation of differentially expressed chromatin regulators for diagnosis of aortic dissection using integrated bioinformatics analysis and machine-learning algorithms.

Aortic dissection (AD) is a life-threatening disease. Chromatin regulators (CRs) are indispensable epigenetic regulators. We aimed to identify differentially expressed chromatin regulators (DECRs) for AD diagnosis.

Quorum sensing-based interactions among drugs, microbes, and diseases.

Many diseases and health conditions are closely related to various microbes, which participate in complex interactions with diverse drugs; nonetheless, the detailed targets of such drugs remain to be elucidated. Many existing studies have reported causal associations among drugs, gut microbes, or diseases, calling for a workflow to reveal their intricate interactions. In this study, we developed a systematic workflow comprising three modules to construct a Quorum Sensing-based Drug-Microbe-Disease (QS-DMD) database ( http://www.

Extensive sharing of chloroplast haplotypes among East Asian Cerris oaks: The imprints of shared ancestral polymorphism and introgression.

Shared ancestral polymorphism and introgression are two main causes of chloroplast DNA (cpDNA) haplotype sharing among closely related angiosperms. In this study, we explored the roles of these two processes in shaping the phylogeographic patterns of East Asian Cerris oaks by examining the geographic distributions of randomly and locally distributed shared haplotypes, which coincide with the expectations of shared ancestry and introgression, respectively. We sequenced 1340 bp of non-coding cpDNA from ( = 418) and ( = 183) and compiled previously published sequence data of ( = 439).